Search Results for author: Hakim Bendada

Found 5 papers, 0 papers with code

A unified framework for thermal face recognition

no code implementations28 Jul 2014 Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague

The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice.

Face Recognition

Infrared face recognition: a comprehensive review of methodologies and databases

no code implementations29 Jan 2014 Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague

Automatic face recognition is an area with immense practical potential which includes a wide range of commercial and law enforcement applications.

Face Recognition

Vesselness features and the inverse compositional AAM for robust face recognition using thermal IR

no code implementations7 Jun 2013 Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague

To overcome the problem of thermal IR image sensitivity to the pattern of facial temperature emissions we describe a representation based on reliable anatomical features.

Face Recognition Robust Face Recognition

Infrared face recognition: a literature review

no code implementations7 Jun 2013 Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague

Automatic face recognition (AFR) is an area with immense practical potential which includes a wide range of commercial and law enforcement applications, and it continues to be one of the most active research areas of computer vision.

Face Recognition

Illumination-invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum

no code implementations7 Jun 2013 Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague

Over the course of the last decade, infrared (IR) and particularly thermal IR imaging based face recognition has emerged as a promising complement to conventional, visible spectrum based approaches which continue to struggle when applied in practice.

Face Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.